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For the project I found a JSON data source from the internet that showed monthly caused of death from 2014 to 2019. I  then coded a web page that when you press the button, calculates the average number of homicides that occurred in 2014 and the average number of homicides that occurred in 2019 from the data on the JSON source. It then displays those numbers on the webpage.

The task for this project was to analyze a data set of our choice using jQuery’s and ajax calls. We were to calculate different summary statistics, and write a potential hypothesis that we could test. I leaned more about the structure of data and datasets may be similar, but they are never the same. Furthermore, you have to be careful of the data you use to make sure that the code iterates through the data correctly.
Here is the project url:

https://misdemo.temple.edu/tuo47980/ProPoints/PRO_point_PROJECT.html

In the LinkedIn Learning course on Microsoft Project 2016, I gained an understanding of proficient project setup. tI learned about the strategic configuration of work tasks, milestones, and recurring tasks. The instructor touched on resource management, their availability, and associated costs. The course also talked about task interlinking for constructing a realistic project schedule. Additionally, it showed the utilization of Project 2016’s novel features, such as multiple timelines and the “Tell me what you want to do” functionality. The learning objectives, spanning efficient project initialization to resolving scheduling intricacies and disseminating project information, equipped me with a practical toolkit for project management using Microsoft Project 2016.

Certificate – CertificateOfCompletion_Microsoft Project 2016 Essential Training

For this project, I chose a JSON file from a database website and created a webpage that displays information about the data. The JSON file that I used contained infromation about Battery Electric Vehicles & Plug-in Hybrid Electric Vehicles in Washington State. With this data, I found the average model year of BEVs and PHEVs, average electric range of BEVs and PHEVs, and the total number of BEVs and PHEVs in Seattle, WA. I did this by iterating through the data to find the desired information for each topic. Additionally, I created the buttons, headings, and hypothesis for the page. The MIS2402 Pro Point Project taught me how to break down and understand large sources of data. The project was challeging, but it helped me gain a better understanding of JSON.

MIS DEMO URL: https://misdemo.temple.edu/tup44662/MISPRO/ProPoint.html

https://misdemo.temple.edu/tuo56288/Pro%20Point%20Project/propoint.html

This project involves analyzing JSON data from a selected source to identify correlations between the population of countries in 2050 and a specific property, such as GDP, in 2030, with the aim of gaining insights into potential future socio-economic trends.

This activity was a linkedIn learning about Learning Design Thinking: Lead Change in Your Organization. The course talks about things like understanding design thinking, developing a design thinking mindset, leading teams, and working together creatively. The course also gives tips on setting goals, involving different skills, and using prototypes in the design process. Going forward, I plan on applying the principles I’ve learned to approach problem-solving with a user-centered mindset, lead teams effectively, and offer creative collaboration, which will help in finding practical solutions.

Certificate:

CertificateOfCompletion_Learning Design Thinking Lead Change in Your Organization

The goal of this project was to use the coding techniques taught in MIS2402 to analyze the data in an API found online. The API I analyzed contained the drug overdose rates per 100,000 people between 1999 and 2017, broken down by age, gender, race, and whether they are Hispanic or Latino. I decided to focus on the latter criteria, Hispanic origin, and analyze the differences in overdose rates between those who are Hispanic and those who are not. I found the average rate from 1999 to 2017 among Hispanics was 3.76 per 100,000, compared to 1.39 per 100,000 among non-Hispanics. I drew the hypothesis that this disparity could be due to Hispanic communities receiving less government assistance to fund their healthcare systems, rehab centers, safe-injection sites, and other harm-reducing resources that could benefit drug users in these communities. Though I did not test this hypothesis, this project taught me that the coding skills we have been learning in MIS2402 aren’t only applicable for some major endeavor like creating a website. What we have been learning can be beneficial even for simple analytical activities like this one in the same way that something like Excel can be used to gain insights that can contribute to achieving larger goals.

https://misdemo.temple.edu/tuq30488/MIS_Pro_Point_Project.html

https://misdemo.temple.edu/tul23256/Shootings%20in%20NYC%20PRO%20Project.html

In this project, I analyzed data of reported shootings in New York City, New York since 2006 from a database of  NYC Shooting Incident Data. I proposed the hypothesis that increased police activity and security measures in residential areas of NYC will result in a direct decrease in the number of deaths from shootings. To represent this hypothesis, I used loops and JSON functions to calculate the percentage of total shootings in NYC that occurred at Public Housing Units and Apartment Buildings. Alongside these numbers, I also calculated the percentage of these shootings that resulted in the death of at least 1 victim. Through this project, I improved my skills on how to select specific data and loop through that data in a JSON dataset that includes both metadata and actual data. I learned how to read and interpret metadata and how it describes the actual data itself. I also learned how to take this data and format it onto an organized webpage and present it in an informative way.